Evidence map›Paper›PMID 42754708›Full record

ArticleNature microbiology2026

Sequential gene loss promotes expansion of monophasic Salmonella Typhimurium ST34.

Xiaolei Wu, Teng Wang, Chenghao Jia, Haiyang Zhou, Yan Li, Stephen Baker, Min Yue

Abstract read
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In one paragraph

Article in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaolei WuKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.ORCID http://orcid.org/0000-0003-2396-2248
Teng WangKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID http://orcid.org/0009-0000-5176-5095
Chenghao JiaKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.ORCID http://orcid.org/0000-0003-4406-9213
Haiyang ZhouMOA Key Laboratory of Animal Virology & Zhejiang Provincial Engineering Research Center of Animal Biological Products, Zhejiang University College of Animal Sciences, Hangzhou, China.
Yan LiMOA Key Laboratory of Animal Virology & Zhejiang Provincial Engineering Research Center of Animal Biological Products, Zhejiang University College of Animal Sciences, Hangzhou, China.
Stephen BakerCambridge Institute of Therapeutic Immunology and Infectious Disease, Department of Medicine, University of Cambridge, Cambridge, UK.
Min YueKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China. myue@ucas.ac.cn.ORCID http://orcid.org/0000-0002-6787-0794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the genetic factors facilitating emergence of infectious diseases is critical, however, mechanisms underlying expansion of pathogenic bacterial variants remain unclear. Here we performed a large-scale genomic analysis of 44,597 Salmonella Typhimurium genomes and observe that sequential gene loss in monophasic Salmonella Typhimurium (mSTM) ST34 explains its clonal expansion as an increasingly prevalent zoonotic lineage. Functional and in vivo competition experiments show that a frameshift mutation in dinB, a polymerase for translesion DNA synthesis, leads to transcriptional changes affecting flagellin gene expression and subsequent loss of the flagellin-encoding fljB, altering the requirements for gut infection. Temporal evolutionary modelling supports a role for gene loss events in a specific chronological order for mSTM ST34 expansion. Our findings reveal a stepwise pathoadaptation model underpinning clonal global spread, providing mechanistic insights relevant to forecasting future pandemics.

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.